Cardiovascular Risk FactorDASHNCT03283332
Determinants of Adolescent, Now Young Adults, Social Well-being and Health: Longitudinal Follow-up
An observational study of Cardiovascular Risk Factor, run by King's College London.
Trial summary
Black and ethnic minority groups living in the UK experience high rates of chronic diseases such as diabetes, hypertension and heart disease, general morbidity and poor mental health. The cause of these excess rates is unknown but obesity, smoking, diet and deprivation are important contributing factors. Read more about this study
- Who is it for?
- Ages 11 to 13 yearsHealthy volunteers can take part
- Conditions the study is for
- Cardiovascular Risk Factor
- How many people
- 6,643 participants
- Where
- No sites listed yet
- Study dates
- 1 Dec 2011to 1 Dec 2012
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 11 to 13 years
- All sexes
- Healthy volunteers accepted
- Child
Study population: School children, aged 11-13 years, representing the main UK ethnic groups (White-European, Black African, Black Caribbean, Indian, Pakistani/Bangladeshi, Other, mainly mixed race).
Who may be able to join
- provision of informed consent
Who cannot join
- none
About this study
Official title: Determinants of Adolescent Social Well-being and Health: a London Based Longitudinal Study of Young People From Different Ethnic Groups
Black and ethnic minority groups living in the UK experience high rates of chronic diseases such as diabetes, hypertension and heart disease, general morbidity and poor mental health. The cause of these excess rates is unknown but obesity, smoking, diet and deprivation are important contributing factors. There is also global evidence of the association of these diseases in adulthood with health and deprivation in early life and childhood. Persisting social deprivation over the lifecourse is disproportionately borne by some ethnic minorities (Harding and Balarajan 2001) but the impact on the health of their children is virtually unknown. Least is known about the health of Black Caribbean young people. It is important to examine risk factor differences by social predictors within the ethnic minority groups as well as between them. The DASH Study started as a school-based cohort study of adolescents from the main ethnic groups (White British, Black Caribbean, Black African, Indian, Pakistani and Bangladeshi) in 10 London boroughs. Wave 1 took place in 2002/03 (MREC Ref: MREC/2/10/12), when participants were aged 11-13 years (school years 7 and 8). Wave 2 took place in 2005/06 (MREC Ref: 05/MRE10/43) when they were 14-16 years (school years 9 and 10). Wave 3 took place in 2010/2011, when participants were aged 19-21 years and involved a postal follow-up complemented by telephone interview and on-line questionnaires. The current proposal is for a feasibility study, using a small sample of the DASH cohort, to inform the design of the next full face-to-face follow-up. DASH will be the first large scale UK longitudinal cohort of ethnic minority youths with both social and biological measures from childhood to early adulthood. It will allow detailed examination of ethnic differences in the social patterning of biological mechanisms and pre-clinical disease in young adulthood.
Read the detailed description
Background:
Black and ethnic minority groups living in the UK experience high rates of chronic diseases such as diabetes, hypertension and heart disease, general morbidity and poor mental health. The cause of these excess rates is unknown but obesity, smoking, diet and deprivation are important contributing factors. There is also global evidence of the association of these diseases in adulthood with health and deprivation in early life and childhood. Persisting social deprivation over the lifecourse is disproportionately borne by some ethnic minorities (Harding and Balarajan 2001) but the impact on the health of their children is virtually unknown. Least is known about the health of Black Caribbean young people. It is important to examine risk factor differences by social predictors within the ethnic minority groups as well as between them. The DASH Study started as a school-based cohort study of adolescents from the main ethnic groups (White British, Black Caribbean, Black African, Indian, Pakistani and Bangladeshi) in 10 London boroughs. Wave 1 took place in 2002/03 (MREC Ref: MREC/2/10/12), when participants were aged 11-13 years (school years 7 and 8). Wave 2 took place in 2005/06 (MREC Ref: 05/MRE10/43) when they were 14-16 years (school years 9 and 10). Wave 3 took place in 2010/2011, when participants were aged 19-21 years and involved a postal follow-up complemented by telephone interview and on-line questionnaires. The current proposal is for a feasibility study, using a small sample of the DASH cohort, to inform the design of the next full face-to-face follow-up. DASH will be the first large scale UK longitudinal cohort of ethnic minority youths with both social and biological measures from childhood to early adulthood. It will allow detailed examination of ethnic differences in the social patterning of biological mechanisms and pre-clinical disease in young adulthood.
Aims:
(i) To conduct a feasibility study to establish the best methods for data collection, including the collection of physical and biological measurements, for subsequent face to face follow-up of the entire cohort.
(ii) To generate a proposal for subsequent follow-up of the entire cohort for submission to MRC, dependent on the findings of the postal and telephone surveys and proposed feasibility study.
Objectives:
- What are the advantages and disadvantages of conducting the study in the two settings - GP surgeries and homes?
- Do participants' response rates vary by setting?
- What are the challenges faced by the nurses in clinics and home visits?
- Will the quality of data collected (e.g. extent of missing data) vary by setting?
- Will the delivery of blood samples to the laboratory be reasonably straight forward in each setting? II. What percentage of participants will agree to undertake bio-marker measures? III. Are mental health measures for this age group, typically used with White European populations, culturally appropriate? IV. How will DASH participants' view feedback on their medical results (e.g. blood pressure, weight, blood lipids)? V. Were participants satisfied with the different components of the survey process - contact, consent, data collection? VI. What is the estimated length of time and the resources required for subsequent full follow-up of DASH study members?
Outcome measures:
These will be examined by setting (home visit, GP surgery) using a mixture of quantitative and qualitative methods and are as follows:
- Percentage response rates - overall, per item/physical measure; II. Percentage consistency of answers to questionnaire items; III. Percentage physical measures within expected range e.g. spirometric measures; IV. Mean length of time for interview; V. Mean length of time for taking physical/biological measures; VI. Qualitative appraisal of cultural appropriateness of mental health measures and of respondents' satisfaction with survey processes.
Sample At the recent telephone survey, respondents were asked if they would be willing to take part in a small feasibility study to prepare for a later full face to face follow-up. Almost all agreed and of those, a sample of 300 (40-50 in each of the main ethnic groups- White British, Black Caribbean, Black African, Pakistani, Bangladeshi, Indian) will be invited to complete a questionnaire, and have physical and physiological measures taken. Interviews will be conducted in respondents' own homes or GP surgeries dependent on the preference of the respondent. As this is a feasibility study, the sample size has been chosen pragmatically to give a reasonable spread, with equal gender representation across the 10 London boroughs that the whole sample was in at wave 2.
Specially trained nurses will conduct the survey in homes or General Practitioners' surgeries, supervised by a nurse manager in the General Practice Research Framework. Nurses will be attached either to the General Research Practice Framework or the Primary Care Research Network.
Main Questionnaire The content reflects mainly questions that were asked in previous waves (general health; health behaviours; psychological well-being; SEC; social support; and relationship with parents). New items include parenthood; age appropriate mental health measures; own education, economic activity and occupation; job strain; caring; 'romantic' relationships; positive and negative emotions; views on their parents being invited to participate in DASH in order to examine generational influences. The investigators will explore two methods of delivery of the questionnaires - self complete questionnaires done prior to visit and computer assisted interviews. If the questionnaire is not completed by the time of the interview, respondents will be asked if they would like to complete a computer assisted interview. Completion of the questionnaire is expected to take about 40 minutes.
Physical/physiological measures As in waves 1/and 2, height, weight, arm, waist and hip circumference, lung function, blood pressure will be measured.
New measures include:
(i)Hand to foot bio-impedance (ii) Bio-markers - HbA1c, total cholesterol, HDL-cholesterol (iii) Dietary assessment - 24 hour recall interviews Qualitative assessment - focus groups and semi-structured interviews. For the new mental health/cognitive measures, the investigators will conduct focus group vignette assessment, based on explanatory model and illness perception theories. This will be carried out in a small sub-sample (6 participants per ethnic group and allowing for 2 gender-specific groups; n=48). Analysis of these data will focus on narratives about the signs and symptoms of different aspects of mental health in the different ethnic groups. These data will provide valuable insights about the appropriateness of measures, usually validated with European populations, for ethnic minority groups.
A research scientist will conduct semi-structured interviews with respondents to obtain feedback on the process of follow-up - what worked well, how best to improve the process, what was un/acceptable etc. The investigators will also enquire about the usefulness of feedback of results. A similar evaluation will take place with the nurses with the aim of identifying best practice in clinics and homes.
Data analysis Descriptive statistics will be used to look at the general distributions and quality of the data collected. Outcomes measured as rates will be examined by data collection setting (GP surgeries vs. home visits), ethnic group and socio-demographic characteristics using standard comparisons technique such as Chi-square test or logistic regression. Mean length of time and any continuous outcomes will be compared using linear regression. In addition, although the sample size of each ethnic group is small, the total sample will allow analyses of the potential social patterning of biological mechanisms in a diverse sample in young adulthood.
- Conditions
- Cardiovascular Risk Factor
- Being tested
- No intervention
- Keywords
- Ethnicity, adolescents, cohort, longitudinal, health inequalities
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
No interventionOther
What is being measured
The primary outcome is the main question the study is designed to answer.
Response rate
Percentage response rates - overall, per item/physical measure
Measured: Through study completion, on average 10 years
Interview duration
Mean length of time for interview
Measured: Through study completion, on average 10 years
physical measures duration
Mean length of time for physical/biological measures
Measured: Through study completion, on average 10 years
Secondary outcomes (19)
Weight
Body weight, kg
Measured: Through study completion, on average 10 years
Height
Height, cm
Measured: Through study completion, on average 10 years
waist circumference
Waist circumference, cm
Measured: Through study completion, on average 10 years
blood pressure
systolic and diastolic blood pressure, mmHg
Measured: Through study completion, on average 10 years
Body fat
body fat measured by bioelectrical impedence, %
Measured: Through study completion, on average 10 years
HbA1c
Glycated haemoglobin, %
Measured: Through study completion, on average 10 years
Total cholesterol
Serum total cholesterol, mmol/l
Measured: Through study completion, on average 10 years
HDL-cholesterol
Serum high-density-lipoprotein cholesterol, mmol/l
Measured: Through study completion, on average 10 years
Energy intake
Dietary energy intake, kcal/day
Measured: Through study completion, on average 10 years
Fat intake
Dietary fat intake, % of total energy intake
Measured: Through study completion, on average 10 years
Saturated fat intake
Dietary saturated fat intake, % of total energy intake
Measured: Through study completion, on average 10 years
Carbohydrate intake
Dietary carbohydrate intake, % of total energy intake
Measured: Through study completion, on average 10 years
Sugar intake
Dietary sugar intake, g/day
Measured: Through study completion, on average 10 years
Fibre intake
Dietary fibre intake, g/day
Measured: Through study completion, on average 10 years
Sodium intake
Dietary sodium intake, mg/day
Measured: Through study completion, on average 10 years
Skipping breakfast
Questionnaire measure of regularity of skipping breakfast
Measured: Through study completion, on average 10 years
Fruit intake
Questionnaire measure of regularity of fruit consumption
Measured: Through study completion, on average 10 years
Vegetable intake
Questionnaire measure of regularity of vegetable consumption
Measured: Through study completion, on average 10 years
Fizzy drink intake
Questionnaire measure of regularity of fizzy drink consumption
Measured: Through study completion, on average 10 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted14 Sep 2017
- Study start1 Dec 2011
- Primary completion1 Dec 2012
- Study completion1 Dec 2012
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (10)Papers the sponsor has linked to this study.
- Other trials for Cardiovascular Risk FactorStudies of the same condition, open and under way.
- More trials run by King's College LondonThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 6,643 participants (actual)
Sponsor and investigators
- Lead sponsor
- King's College London
- Sponsor type
- University, hospital or other
- Collaborators
- Medical Research Council, Chief Scientist Office of the Scottish Government
- Responsible party
- Sponsor
- Investigators
- Seeromanie Harding, PhD, Principal investigator, King's College London
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03283332
- Sponsor's protocol ID
- 05/MRE10/43
- Acronym
- DASH
- Status last verified
- Sep 2017
- First submitted
- 8 Sep 2017
- Last updated
- 14 Sep 2017
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: The DASH data are available to researchers via a data request to the MRC Social and Public Health Science Unit. Applications and the data sharing policy for DASH can be found at http://dash.sphsu.mrc. ac.uk/DASH\_dsp\_v1\_November-2012\_draft.pdf. It reflects the MRC guidance on data sharing with the aim of making the data as widely and freely available as possible while safeguarding the privacy of participants, protecting confidential data, and maintaining the reputation of the study. All potential collaborators work with a link person, an experienced DASH researcher-to support their access to and analysis of the data. The variable-level metadata is available from the study team and also via the MRC Data Gateway.
Publications
Harding S, Whitrow M, Maynard MJ, Teyhan A. Cohort profile: The DASH (Determinants of Adolescent Social well-being and Health) Study, an ethnically diverse cohort. Int J Epidemiol. 2007 Jun;36(3):512-7. doi: 10.1093/ije/dym094. Epub 2007 Jul 30. No abstract available.
PubMed 17664225Lu Y, Sooky L, Silva MJ, Molaodi OR, Karamanos A, Cruickshank JK, Harding S. Longitudinal study of the influence of lung function on vascular health from adolescence to early adulthood in a British multiethnic cohort. J Hypertens. 2017 Nov;35(11):2185-2191. doi: 10.1097/HJH.0000000000001455.
PubMed 28661960Harding S, Silva MJ, Molaodi OR, Enayat ZE, Cassidy A, Karamanos A, Read UM, Cruickshank JK. Longitudinal study of cardiometabolic risk from early adolescence to early adulthood in an ethnically diverse cohort. BMJ Open. 2016 Dec 14;6(12):e013221. doi: 10.1136/bmjopen-2016-013221.
PubMed 27979836Faconti L, Silva MJ, Molaodi OR, Enayat ZE, Cassidy A, Karamanos A, Nanino E, Read UM, Dall P, Stansfield B, Harding S, Cruickshank KJ. Can arterial wave augmentation in young adults help account for variability of cardiovascular risk in different British ethnic groups? J Hypertens. 2016 Nov;34(11):2220-6. doi: 10.1097/HJH.0000000000001066.
PubMed 27490950Harding S, Read UM, Molaodi OR, Cassidy A, Maynard MJ, Lenguerrand E, Astell-Burt T, Teyhan A, Whitrow M, Enayat ZE. The Determinants of young Adult Social well-being and Health (DASH) study: diversity, psychosocial determinants and health. Soc Psychiatry Psychiatr Epidemiol. 2015 Aug;50(8):1173-88. doi: 10.1007/s00127-015-1047-9. Epub 2015 Apr 11.
PubMed 25861790Whitrow MJ, Harding S. Asthma in Black African, Black Caribbean and South Asian adolescents in the MRC DASH study: a cross sectional analysis. BMC Pediatr. 2010 Mar 25;10:18. doi: 10.1186/1471-2431-10-18.
PubMed 20334698Harding S, Teyhan A, Maynard MJ, Cruickshank JK. Ethnic differences in overweight and obesity in early adolescence in the MRC DASH study: the role of adolescent and parental lifestyle. Int J Epidemiol. 2008 Feb;37(1):162-72. doi: 10.1093/ije/dym252. Epub 2008 Jan 19.
PubMed 18204089Maynard MJ, Harding S, Minnis H. Psychological well-being in Black Caribbean, Black African, and White adolescents in the UK Medical Research Council DASH study. Soc Psychiatry Psychiatr Epidemiol. 2007 Sep;42(9):759-69. doi: 10.1007/s00127-007-0227-7. Epub 2007 Jun 29.
PubMed 17603738Harding S, Maynard MJ, Cruickshank K, Teyhan A. Overweight, obesity and high blood pressure in an ethnically diverse sample of adolescents in Britain: the Medical Research Council DASH study. Int J Obes (Lond). 2008 Jan;32(1):82-90. doi: 10.1038/sj.ijo.0803662. Epub 2007 Jun 19.
PubMed 17579635Harding S, Maynard M, Cruickshank JK, Gray L. Anthropometry and blood pressure differences in black Caribbean, African, South Asian and white adolescents: the MRC DASH study. J Hypertens. 2006 Aug;24(8):1507-14. doi: 10.1097/01.hjh.0000239285.20315.4d.
PubMed 16877952
Study at a glance
From the registry record, last updated by the sponsor on 14 Sep 2017. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Determinants of Adolescent Social Well-being and Health: a London Based Longitudinal Study of Young People From Different Ethnic Groups
- ClinicalTrials.gov ID
- NCT03283332
- Acronym / sponsor ID
- DASH / 05/MRE10/43
- Conditions
- Cardiovascular Risk Factor
- Keywords
- Ethnicity, adolescents, cohort, longitudinal, health inequalities
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 6,643 participants (actual)
- Lead sponsor
- King's College LondonUniversity, hospital or other
- Collaborators
- Medical Research Council, Chief Scientist Office of the Scottish Government
- Study start
- 1 Dec 2011 (actual)
- Primary completion
- 1 Dec 2012 (actual)
- Study completion
- 1 Dec 2012 (actual)
- First posted
- 14 Sep 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Black and ethnic minority groups living in the UK experience high rates of chronic diseases such as diabetes, hypertension and heart disease, general morbidity and poor mental health. The cause of these excess rates is unknown but obesity, smoking, diet and deprivation are important contributing factors. There is also global evidence of the association of these diseases in adulthood with health and deprivation in early life and childhood. Persisting social deprivation over the lifecourse is disproportionately borne by some ethnic minorities (Harding and Balarajan 2001) but the impact on the health of their children is virtually unknown. Least is known about the health of Black Caribbean young people. It is important to examine risk factor differences by social predictors within the ethnic minority groups as well as between them. The DASH Study started as a school-based cohort study of adolescents from the main ethnic groups (White British, Black Caribbean, Black African, Indian, Pakistani and Bangladeshi) in 10 London boroughs. Wave 1 took place in 2002/03 (MREC Ref: MREC/2/10/12), when participants were aged 11-13 years (school years 7 and 8). Wave 2 took place in 2005/06 (MREC Ref: 05/MRE10/43) when they were 14-16 years (school years 9 and 10). Wave 3 took place in 2010/2011, when participants were aged 19-21 years and involved a postal follow-up complemented by telephone interview and on-line questionnaires. The current proposal is for a feasibility study, using a small sample of the DASH cohort, to inform the design of the next full face-to-face follow-up. DASH will be the first large scale UK longitudinal cohort of ethnic minority youths with both social and biological measures from childhood to early adulthood. It will allow detailed examination of ethnic differences in the social patterning of biological mechanisms and pre-clinical disease in young adulthood.
Detailed description
Background:
Black and ethnic minority groups living in the UK experience high rates of chronic diseases such as diabetes, hypertension and heart disease, general morbidity and poor mental health. The cause of these excess rates is unknown but obesity, smoking, diet and deprivation are important contributing factors. There is also global evidence of the association of these diseases in adulthood with health and deprivation in early life and childhood. Persisting social deprivation over the lifecourse is disproportionately borne by some ethnic minorities (Harding and Balarajan 2001) but the impact on the health of their children is virtually unknown. Least is known about the health of Black Caribbean young people. It is important to examine risk factor differences by social predictors within the ethnic minority groups as well as between them. The DASH Study started as a school-based cohort study of adolescents from the main ethnic groups (White British, Black Caribbean, Black African, Indian, Pakistani and Bangladeshi) in 10 London boroughs. Wave 1 took place in 2002/03 (MREC Ref: MREC/2/10/12), when participants were aged 11-13 years (school years 7 and 8). Wave 2 took place in 2005/06 (MREC Ref: 05/MRE10/43) when they were 14-16 years (school years 9 and 10). Wave 3 took place in 2010/2011, when participants were aged 19-21 years and involved a postal follow-up complemented by telephone interview and on-line questionnaires. The current proposal is for a feasibility study, using a small sample of the DASH cohort, to inform the design of the next full face-to-face follow-up. DASH will be the first large scale UK longitudinal cohort of ethnic minority youths with both social and biological measures from childhood to early adulthood. It will allow detailed examination of ethnic differences in the social patterning of biological mechanisms and pre-clinical disease in young adulthood.
Aims:
(i) To conduct a feasibility study to establish the best methods for data collection, including the collection of physical and biological measurements, for subsequent face to face follow-up of the entire cohort.
(ii) To generate a proposal for subsequent follow-up of the entire cohort for submission to MRC, dependent on the findings of the postal and telephone surveys and proposed feasibility study.
Objectives:
- What are the advantages and disadvantages of conducting the study in the two settings - GP surgeries and homes?
- Do participants' response rates vary by setting?
- What are the challenges faced by the nurses in clinics and home visits?
- Will the quality of data collected (e.g. extent of missing data) vary by setting?
- Will the delivery of blood samples to the laboratory be reasonably straight forward in each setting? II. What percentage of participants will agree to undertake bio-marker measures? III. Are mental health measures for this age group, typically used with White European populations, culturally appropriate? IV. How will DASH participants' view feedback on their medical results (e.g. blood pressure, weight, blood lipids)? V. Were participants satisfied with the different components of the survey process - contact, consent, data collection? VI. What is the estimated length of time and the resources required for subsequent full follow-up of DASH study members?
Outcome measures:
These will be examined by setting (home visit, GP surgery) using a mixture of quantitative and qualitative methods and are as follows:
- Percentage response rates - overall, per item/physical measure; II. Percentage consistency of answers to questionnaire items; III. Percentage physical measures within expected range e.g. spirometric measures; IV. Mean length of time for interview; V. Mean length of time for taking physical/biological measures; VI. Qualitative appraisal of cultural appropriateness of mental health measures and of respondents' satisfaction with survey processes.
Sample At the recent telephone survey, respondents were asked if they would be willing to take part in a small feasibility study to prepare for a later full face to face follow-up. Almost all agreed and of those, a sample of 300 (40-50 in each of the main ethnic groups- White British, Black Caribbean, Black African, Pakistani, Bangladeshi, Indian) will be invited to complete a questionnaire, and have physical and physiological measures taken. Interviews will be conducted in respondents' own homes or GP surgeries dependent on the preference of the respondent. As this is a feasibility study, the sample size has been chosen pragmatically to give a reasonable spread, with equal gender representation across the 10 London boroughs that the whole sample was in at wave 2.
Specially trained nurses will conduct the survey in homes or General Practitioners' surgeries, supervised by a nurse manager in the General Practice Research Framework. Nurses will be attached either to the General Research Practice Framework or the Primary Care Research Network.
Main Questionnaire The content reflects mainly questions that were asked in previous waves (general health; health behaviours; psychological well-being; SEC; social support; and relationship with parents). New items include parenthood; age appropriate mental health measures; own education, economic activity and occupation; job strain; caring; 'romantic' relationships; positive and negative emotions; views on their parents being invited to participate in DASH in order to examine generational influences. The investigators will explore two methods of delivery of the questionnaires - self complete questionnaires done prior to visit and computer assisted interviews. If the questionnaire is not completed by the time of the interview, respondents will be asked if they would like to complete a computer assisted interview. Completion of the questionnaire is expected to take about 40 minutes.
Physical/physiological measures As in waves 1/and 2, height, weight, arm, waist and hip circumference, lung function, blood pressure will be measured.
New measures include:
(i)Hand to foot bio-impedance (ii) Bio-markers - HbA1c, total cholesterol, HDL-cholesterol (iii) Dietary assessment - 24 hour recall interviews Qualitative assessment - focus groups and semi-structured interviews. For the new mental health/cognitive measures, the investigators will conduct focus group vignette assessment, based on explanatory model and illness perception theories. This will be carried out in a small sub-sample (6 participants per ethnic group and allowing for 2 gender-specific groups; n=48). Analysis of these data will focus on narratives about the signs and symptoms of different aspects of mental health in the different ethnic groups. These data will provide valuable insights about the appropriateness of measures, usually validated with European populations, for ethnic minority groups.
A research scientist will conduct semi-structured interviews with respondents to obtain feedback on the process of follow-up - what worked well, how best to improve the process, what was un/acceptable etc. The investigators will also enquire about the usefulness of feedback of results. A similar evaluation will take place with the nurses with the aim of identifying best practice in clinics and homes.
Data analysis Descriptive statistics will be used to look at the general distributions and quality of the data collected. Outcomes measured as rates will be examined by data collection setting (GP surgeries vs. home visits), ethnic group and socio-demographic characteristics using standard comparisons technique such as Chi-square test or logistic regression. Mean length of time and any continuous outcomes will be compared using linear regression. In addition, although the sample size of each ethnic group is small, the total sample will allow analyses of the potential social patterning of biological mechanisms in a diverse sample in young adulthood.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 11 to 13 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child
- Study population
- School children, aged 11-13 years, representing the main UK ethnic groups (White-European, Black African, Black Caribbean, Indian, Pakistani/Bangladeshi, Other, mainly mixed race).
Key inclusion criteria (1 listed)
- provision of informed consent
Key exclusion criteria (1 listed)
- none
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| No intervention | Other | – |
Primary outcome
Response rate
Time frame: Through study completion, on average 10 years
Percentage response rates - overall, per item/physical measure
Interview duration
Time frame: Through study completion, on average 10 years
Mean length of time for interview
physical measures duration
Time frame: Through study completion, on average 10 years
Mean length of time for physical/biological measures
19 secondary outcomes
Weight
Time frame: Through study completion, on average 10 years
Height
Time frame: Through study completion, on average 10 years
waist circumference
Time frame: Through study completion, on average 10 years
blood pressure
Time frame: Through study completion, on average 10 years
Body fat
Time frame: Through study completion, on average 10 years
HbA1c
Time frame: Through study completion, on average 10 years
Total cholesterol
Time frame: Through study completion, on average 10 years
HDL-cholesterol
Time frame: Through study completion, on average 10 years
Energy intake
Time frame: Through study completion, on average 10 years
Fat intake
Time frame: Through study completion, on average 10 years
Saturated fat intake
Time frame: Through study completion, on average 10 years
Carbohydrate intake
Time frame: Through study completion, on average 10 years
Sugar intake
Time frame: Through study completion, on average 10 years
Fibre intake
Time frame: Through study completion, on average 10 years
Sodium intake
Time frame: Through study completion, on average 10 years
Skipping breakfast
Time frame: Through study completion, on average 10 years
Fruit intake
Time frame: Through study completion, on average 10 years
Vegetable intake
Time frame: Through study completion, on average 10 years
Fizzy drink intake
Time frame: Through study completion, on average 10 years
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 Sep 2017.
- Results publication: PubMed 17664225Harding S, Whitrow M, Maynard MJ, Teyhan A. Cohort profile: The DASH (Determinants of Adolescent Social well-being and Health) Study, an ethnically diverse cohort. Int J Epidemiol. 2007 Jun;36(3):512-7. doi: 10.1093/ije/dym094. Epub 2007 Jul 30. No abstract available.
- Results publication: PubMed 28661960Lu Y, Sooky L, Silva MJ, Molaodi OR, Karamanos A, Cruickshank JK, Harding S. Longitudinal study of the influence of lung function on vascular health from adolescence to early adulthood in a British multiethnic cohort. J Hypertens. 2017 Nov;35(11):2185-2191. doi: 10.1097/HJH.0000000000001455.
- Results publication: PubMed 27979836Harding S, Silva MJ, Molaodi OR, Enayat ZE, Cassidy A, Karamanos A, Read UM, Cruickshank JK. Longitudinal study of cardiometabolic risk from early adolescence to early adulthood in an ethnically diverse cohort. BMJ Open. 2016 Dec 14;6(12):e013221. doi: 10.1136/bmjopen-2016-013221.
- Results publication: PubMed 27490950Faconti L, Silva MJ, Molaodi OR, Enayat ZE, Cassidy A, Karamanos A, Nanino E, Read UM, Dall P, Stansfield B, Harding S, Cruickshank KJ. Can arterial wave augmentation in young adults help account for variability of cardiovascular risk in different British ethnic groups? J Hypertens. 2016 Nov;34(11):2220-6. doi: 10.1097/HJH.0000000000001066.
- Results publication: PubMed 25861790Harding S, Read UM, Molaodi OR, Cassidy A, Maynard MJ, Lenguerrand E, Astell-Burt T, Teyhan A, Whitrow M, Enayat ZE. The Determinants of young Adult Social well-being and Health (DASH) study: diversity, psychosocial determinants and health. Soc Psychiatry Psychiatr Epidemiol. 2015 Aug;50(8):1173-88. doi: 10.1007/s00127-015-1047-9. Epub 2015 Apr 11.
- Results publication: PubMed 20334698Whitrow MJ, Harding S. Asthma in Black African, Black Caribbean and South Asian adolescents in the MRC DASH study: a cross sectional analysis. BMC Pediatr. 2010 Mar 25;10:18. doi: 10.1186/1471-2431-10-18.
- Results publication: PubMed 18204089Harding S, Teyhan A, Maynard MJ, Cruickshank JK. Ethnic differences in overweight and obesity in early adolescence in the MRC DASH study: the role of adolescent and parental lifestyle. Int J Epidemiol. 2008 Feb;37(1):162-72. doi: 10.1093/ije/dym252. Epub 2008 Jan 19.
- Results publication: PubMed 17603738Maynard MJ, Harding S, Minnis H. Psychological well-being in Black Caribbean, Black African, and White adolescents in the UK Medical Research Council DASH study. Soc Psychiatry Psychiatr Epidemiol. 2007 Sep;42(9):759-69. doi: 10.1007/s00127-007-0227-7. Epub 2007 Jun 29.
- Results publication: PubMed 17579635Harding S, Maynard MJ, Cruickshank K, Teyhan A. Overweight, obesity and high blood pressure in an ethnically diverse sample of adolescents in Britain: the Medical Research Council DASH study. Int J Obes (Lond). 2008 Jan;32(1):82-90. doi: 10.1038/sj.ijo.0803662. Epub 2007 Jun 19.
- Results publication: PubMed 16877952Harding S, Maynard M, Cruickshank JK, Gray L. Anthropometry and blood pressure differences in black Caribbean, African, South Asian and white adolescents: the MRC DASH study. J Hypertens. 2006 Aug;24(8):1507-14. doi: 10.1097/01.hjh.0000239285.20315.4d.
- Individual participant dataSharing planned: Yes. The DASH data are available to researchers via a data request to the MRC Social and Public Health Science Unit. Applications and the data sharing policy for DASH can be found at http://dash.sphsu.mrc. ac.uk/DASH_dsp_v1_November-2012_draft.pdf. It reflects the MRC guidance on data sharing with the aim of making the data as widely and freely available as possible while safeguarding the privacy of participants, protecting confidential data, and maintaining the reputation of the study. All potential collaborators work with a link person, an experienced DASH researcher-to support their access to and analysis of the data. The variable-level metadata is available from the study team and also via the MRC Data Gateway.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Seeromanie Harding, PhD principal investigator
King's College London
Questions about this trial
What is this clinical trial studying?
An observational study of Cardiovascular Risk Factor, run by King's College London.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 14 Sep 2017. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Response rate (time frame: Through study completion, on average 10 years). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03283332, which also lists 10 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 Sep 2017.